International Journal of Applied Earth Observation and Geoinformation

Aims & Scope

The Journal publishes original papers that apply earth observation data to inventarisation and management of natural resources and the environment.

In this context, earth observation data are normally those acquired from remote sensing platforms such as satellites and aircraft, complemented and supplemented by surface and subsurface measurements and mapping.

Natural resources include forests, agricultural land, soils, water resources, mineral deposits, and land itself as a foundation for infrastructure and housing.

Environmental issues include biodiversity, land degradation, industrial pollution and natural hazards such as earthquakes, floods and landslides.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Earth and Planetary Sciences and Environmental Science, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Earth and Planetary Sciences and Environmental Science, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 2,770.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Multi- and hyperspectral geologic remote sensing: A review

  Citation: 597

  Authors: Freek D., Harald M.A., Frank J.A., Chris A., Wim H., Marleen F., Mark, E. John M., J. Boudewijn de, Tsehaie

• Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

  Citation: 470

  Authors: Juliane, Kang, Helge, Andreas, Simon, Janis, Martin L., Georg

• Assessment with satellite data of the urban heat island effects in Asian mega cities

  Citation: 464

  Authors: Hung, Daisuke, Shiro, Yoshifumi

• Urban sprawl: metrics, dynamics and modelling using GIS

  Citation: 437

  Authors: H.S., T.V., K.S.

• Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion

  Citation: 405

  Authors: Jamal, Marco, Wolfgang, Ali

• High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

  Citation: 382

  Authors: Onisimo, Elhadi, Moses Azong

• Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms

  Citation: 381

  Authors: J.R., T.

• Urban heat island effect: A systematic review of spatio-temporal factors, data, methods, and mitigation measures

  Citation: 360

  Authors: Kaveh, Md., Yan

• A kernel functions analysis for support vector machines for land cover classification

  Citation: 352

  Authors: T., I.

• Monitoring and modelling of urban sprawl using remote sensing and GIS techniques

  Citation: 318

  Authors: Mahesh Kumar, P.K., Deepak